John E. Pak
Impact in
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
- Infectious Diseases top 5%
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in ⓘ
-
- Glycosylation and Glycoproteins Research 5
- vaccines and immunoinformatics approaches 3
-
- SARS-CoV-2 and COVID-19 Research 8
- SARS-CoV-2 detection and testing 4
- Co-authors
- Xiaohui Deng (1 shared paper)William A. Müller (1 shared paper)Payton A. Weidenbacher (3 shared papers)Peter S. Kim (3 shared papers)Shaogeng Tang (3 shared papers)Wesley Wu (7 shared papers)James M. Rini (5 shared papers)Ellen Shapiro (1 shared paper)
- Journals
- Neurology Neuroimmunology & Neuroinflammation (2 papers)Journal of Molecular Biology (2 papers)eLife (2 papers)Nature Chemical Biology (2 papers)Biophysical Journal (2 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
John E. Pak
30 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 114
- Immunology and Allergy 194
- Infectious Diseases 362
- Immunology 306
- Ophthalmology 112
- Molecular Biology 837
Countries citing papers authored by John E. Pak
This map shows the geographic impact of John E. Pak's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John E. Pak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John E. Pak more than expected).
Fields of papers citing papers by John E. Pak
This network shows the impact of papers produced by John E. Pak. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John E. Pak. The network helps show where John E. Pak may publish in the future.
Co-authors
The 25 scholars most cited alongside John E. Pak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1994 | 264 | |
| 2 | Efficient evolution of human antibodies from general protein language models Hit paper breakdown → | 2023 | 205 |
| 3 | 2021 | 170 | |
| 4 | 2002 | 160 | |
| 5 | Urothelium-specific expression of an oncogene in transgenic mice induced the formation of carcinoma in situ and invasive transitional cell carcinoma. | 1999 | 140 |
| 6 | 2021 | 122 | |
| 7 | 2022 | 74 | |
| 8 | 2012 | 63 | |
| 9 | 2017 | 62 | |
| 10 | 2006 | 51 | |
| 11 | 2019 | 49 | |
| 12 | 2023 | 46 | |
| 13 | 2009 | 41 | |
| 14 | 2019 | 38 | |
| 15 | 2013 | 37 | |
| 16 | 2011 | 27 | |
| 17 | 2020 | 21 | |
| 18 | The Virtual Lab of AI agents designs new SARS-CoV-2 nanobodies Hit paper breakdown → | 2025 | 18 |
| 19 | 2011 | 16 | |
| 20 | 2022 | 13 |
About John E. Pak
John E. Pak is a scholar working on Molecular Biology, Infectious Diseases, Immunology, Virology and Radiology, Nuclear Medicine and Imaging, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Glycosylation and Glycoproteins Research (5 papers), Galectins and Cancer Biology (4 papers), SARS-CoV-2 detection and testing (4 papers), vaccines and immunoinformatics approaches (3 papers), Cellular transport and secretion (3 papers), HIV Research and Treatment (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Immunology and Allergy (194 citations), Infectious Diseases (362 citations), Immunology (306 citations), Ophthalmology (112 citations) and Molecular Biology (837 citations). John E. Pak has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Xiaohui Deng, William A. Müller, Payton A. Weidenbacher, Peter S. Kim, Shaogeng Tang, Wesley Wu, James M. Rini, Ellen Shapiro, Tung‐Tien Sun and Xue‐Ru Wu. Their work appears in journals such as Neurology Neuroimmunology & Neuroinflammation, Journal of Molecular Biology, eLife, Nature Chemical Biology and Biophysical Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.